Contact Tracking Development Trend Using Bibliometric Analysis
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The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to mostcountries and poses a challenge to the healthcare system. Contact tracing technology is an effective way forpublic health to deal with diseases. Many experts have studied traditional contact tracing and developed digitalcontact tracking. In order to better understand the field of contact tracking, it is necessary to analyze thedevelopment of contact tracking in the field of computer science by bibliometrics. The purpose of this researchis to use literature statistics and topic analysis to characterize the research literature of contact tracking in thefield of computer science, to gain an in-depth understanding of the literature development status of contacttracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, weconducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Whichcontains more than 10,000 articles, including more than 2,000 in the field of computer science. For populartrends, we use VOSviewer for visual analysis. The number of contact tracking documents published annuallyin the computer field is increasing. At present, there are 200 to 300 papers published in the field of computerscience each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper,we found that the hot topic of contact tracking has changed from the past “mathematical model,” “biologicalmodel,” and “algorithm” to the current “digital contact tracking,” “privacy,” and “mobile application” and othertopics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can displayhigh-quality literature in contact tracking and characterize the development trend of the entire field throughtopic analysis. This is useful for students and researchers new to field of contact tracking ai well as forpresenting our results to other subjects. Especially when comprehensive research cannot be conducted due totime constraints or lack of precise research questions, our research analysis can provide value for it.
Abstract
The new crown pneumonia (COVID-19) has become a global epidemic. The disease has spread to mostcountries and poses a challenge to the healthcare system. Contact tracing technology is an effective way forpublic health to deal with diseases. Many experts have studied traditional contact tracing and developed digitalcontact tracking. In order to better understand the field of contact tracking, it is necessary to analyze thedevelopment of contact tracking in the field of computer science by bibliometrics. The purpose of this researchis to use literature statistics and topic analysis to characterize the research literature of contact tracking in thefield of computer science, to gain an in-depth understanding of the literature development status of contacttracking and the trend of hot topics over the past decade. In order to achieve the aforementioned goals, weconducted a bibliometric study in this paper. The study uses data collected from the Scopus database. Whichcontains more than 10,000 articles, including more than 2,000 in the field of computer science. For populartrends, we use VOSviewer for visual analysis. The number of contact tracking documents published annuallyin the computer field is increasing. At present, there are 200 to 300 papers published in the field of computerscience each year, and the number of uncited papers is relatively small. Through the visual analysis of the paper,we found that the hot topic of contact tracking has changed from the past “mathematical model,” “biologicalmodel,” and “algorithm” to the current “digital contact tracking,” “privacy,” and “mobile application” and othertopics. Contact tracking is currently a hot research topic. By selecting the most cited papers, we can displayhigh-quality literature in contact tracking and characterize the development trend of the entire field throughtopic analysis. This is useful for students and researchers new to field of contact tracking ai well as forpresenting our results to other subjects. Especially when comprehensive research cannot be conducted due totime constraints or lack of precise research questions, our research analysis can provide value for it.
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